Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Massively parallel protein-protein interaction measurement by sequencing (MP3-seq) enables rapid screening of protein heterodimers

Alexander Baryshev, Alyssa La Fleur, Benjamin Groves, Cirstyn Michel, David Baker, Ajasja Ljubetič, View ORCID ProfileGeorg Seelig
doi: https://doi.org/10.1101/2023.02.08.527770
Alexander Baryshev
1Department of Electrical & Computer Engineering, University of Washington, Seattle, WA 98195, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alyssa La Fleur
2Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Benjamin Groves
1Department of Electrical & Computer Engineering, University of Washington, Seattle, WA 98195, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Cirstyn Michel
3Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David Baker
4Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
5Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
6Department of Bioengineering, University of Washington, Seattle, WA, USA
7Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ajasja Ljubetič
4Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
5Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
8Department for Synthetic Biology and Immunology, National Institute of Chemistry, Ljubljana SI-1000, Slovenia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: gseelig@uw.edu ajasja.ljubetic@gmail.com
Georg Seelig
1Department of Electrical & Computer Engineering, University of Washington, Seattle, WA 98195, USA
2Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Georg Seelig
  • For correspondence: gseelig@uw.edu ajasja.ljubetic@gmail.com
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/2023.02.08.527770
History 
  • February 9, 2023.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Alexander Baryshev1,*,
  2. Alyssa La Fleur2,*,
  3. Benjamin Groves1,
  4. Cirstyn Michel3,
  5. David Baker4,5,6,7,
  6. Ajasja Ljubetič4,5,8,$ and
  7. Georg Seelig1,2,$
  1. 1Department of Electrical & Computer Engineering, University of Washington, Seattle, WA 98195, USA
  2. 2Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195, USA
  3. 3Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
  4. 4Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
  5. 5Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
  6. 6Department of Bioengineering, University of Washington, Seattle, WA, USA
  7. 7Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
  8. 8Department for Synthetic Biology and Immunology, National Institute of Chemistry, Ljubljana SI-1000, Slovenia
  1. ↵$correspondence: gseelig{at}uw.edu, ajasja.ljubetic{at}gmail.com
  1. ↵* equal contributions

Back to top
PreviousNext
Posted February 09, 2023.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Massively parallel protein-protein interaction measurement by sequencing (MP3-seq) enables rapid screening of protein heterodimers
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Massively parallel protein-protein interaction measurement by sequencing (MP3-seq) enables rapid screening of protein heterodimers
Alexander Baryshev, Alyssa La Fleur, Benjamin Groves, Cirstyn Michel, David Baker, Ajasja Ljubetič, Georg Seelig
bioRxiv 2023.02.08.527770; doi: https://doi.org/10.1101/2023.02.08.527770
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Massively parallel protein-protein interaction measurement by sequencing (MP3-seq) enables rapid screening of protein heterodimers
Alexander Baryshev, Alyssa La Fleur, Benjamin Groves, Cirstyn Michel, David Baker, Ajasja Ljubetič, Georg Seelig
bioRxiv 2023.02.08.527770; doi: https://doi.org/10.1101/2023.02.08.527770

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Synthetic Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4382)
  • Biochemistry (9591)
  • Bioengineering (7090)
  • Bioinformatics (24857)
  • Biophysics (12600)
  • Cancer Biology (9956)
  • Cell Biology (14349)
  • Clinical Trials (138)
  • Developmental Biology (7948)
  • Ecology (12105)
  • Epidemiology (2067)
  • Evolutionary Biology (15988)
  • Genetics (10925)
  • Genomics (14738)
  • Immunology (9869)
  • Microbiology (23660)
  • Molecular Biology (9484)
  • Neuroscience (50860)
  • Paleontology (369)
  • Pathology (1539)
  • Pharmacology and Toxicology (2682)
  • Physiology (4013)
  • Plant Biology (8657)
  • Scientific Communication and Education (1508)
  • Synthetic Biology (2394)
  • Systems Biology (6433)
  • Zoology (1346)